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(in Polish) Zbiory danych i statystyka publiczna

General data

Course ID:	2400-ZEWW818
Erasmus code / ISCED:	14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	(unknown)
Name in Polish:	Zbiory danych i statystyka publiczna
Organizational unit:	Faculty of Economic Sciences
Course groups:	(in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia FR - grupa 3 (430h) (in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia IE - grupa 1 (630h) (in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich FIR (in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich IE (in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich MSEM
ECTS credit allocation (and other scores):	3.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	optional courses
Short description:	The aim of this course is to present the process of collecting and processing data for the use of official statistics. The role of definitions, methods of obtaining and limitations of collected data will be discussed. We will also discuss the influence of the data used on the results and conclusions of economic analysis.
Full description:	Plan: 1. Legal bases and good practices of the European Statistical System. Development, production and dissemination of European statistics. 2. Law on official statistics. Statistical confidentiality. Anonymisation 3. Aims and role of public statistics in public policy, business and research. Programme of Public Statistical Research. 4. Administrative data (ZUS, KRUS, MF), full surveys (Census), representative surveys. Weights in representative surveys. Planning, design and implementation of full and representative surveys. 5. Databases: Eurostat, ECB, IMF, ILO, BIS, UN, OECD, World Bank, CSO 6. Quality and comparability in official statistics, the problem of seasonality. Data errors, non-response and other data gaps. 7. National accounts (ESA 2010), satellite national accounts, NTTA 8. Indices, ratios and other measures of official statistics 9. surveys conducted by National Statistical Institutes (e.g. LFS, BBGD). Surveys conducted by other units (e.g. BZGD, Social Diagnosis, Rapid Monitoring, 10. Eurobarometer, ISSP, ESS) 11. Surveys of enterprises 12. Household surveys 13. Data cleaning, reliability of results (sample size, purpose of the survey, purpose of the self-report survey), sensitive questions. Rotating panels. 14. Time Use Survey. 15. Measurement of the shadow economy
Bibliography:	European Statistics Code of Practice for the National and Community Statistical Authorities Eurostat 2017 Wallgren A. and B. Wallgren (2014) Register-based Statistics - Administrative Data for Statistical Purposes Wiley Groves, R.M., and Heeringa, S.G. (2006). Responsive design for household surveys: tools for actively controlling survey errors and costs. Journal of Royal Statistical Society, Series A, 169, 439-457 Iwig, W., Berning, M., Marck, P., Prell, M. (2013). Data Quality Assessment for Administrative Data. Statistical Uses of Administrative Records Subcommittee , Federal Committee on Statistical Methodology European system of accounts - ESA 2010 Panek T. (2014) Statystyka społeczna, PWE, Warszawa ESS Report 2017 ROZPORZĄDZENIE PARLAMENTU EUROPEJSKIEGO I RADY (UE) NR 99/2013 z dnia 15 stycznia 2013 r. w sprawie Europejskiego programu statystycznego 2013–2017 Program badań statystyki publicznej na rok 2022 https://ec.europa.eu/eurostat/web/ess/-/jdemetra-officially-recommended-as-software-for-the-seasonal-adjustment-of-official-statistics Kurowska Anna (2011) Wskaźniki społeczne w polityce sołecznej. Historia, teoria i zastosowania w praktyce., Diffin Repozytorium Standardów Informacyjnych GUS https://rsi.stat.gov.pl/
Assessment methods and assessment criteria:	The credit is based on a project. In addition, the student is expected to complete the LFS questionnaire, HBS booklet and Time Use diary independently and draw their own conclusions about the data collection processes.

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO KON TU W TH FR
Type of class:	Seminar, 30 hours more information
Coordinators:	Olga Zajkowska
Group instructors:	Olga Zajkowska
Students list:	(inaccessible to you)
Examination:	Course - Grading Seminar - Grading

Course descriptions are protected by copyright.
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